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Record W4400244850 · doi:10.1080/09644016.2024.2373600

On being an “oil and gas worker”: dominant discourse, self-representation, and Canada’s energy future

2024· article· en· W4400244850 on OpenAlex
Alana Lajoie-O’Malley

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironmental Politics · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Acceptance of Renewable Energy
Canadian institutionsDalhousie University
Fundersnot available
KeywordsRepresentation (politics)Energy (signal processing)Fossil fuelPolitical scienceSociologyPoliticsLawChemistryMathematics

Abstract

fetched live from OpenAlex

Political wrangling over the future of oil and gas in the context of climate change dominates national debates about Canada’s energy future. These debates frequently rhetorically center around the needs and desires of oil and gas workers. Who, though, do politicians and pundits imagine these workers to be, and how do these imaginations measure up against how these workers imagine themselves and their futures? I answer these questions using the sociology of knowledge approach to discourse analysis to examine media and political debates as well as interviews with oil and gas workers. I find that oil and gas workers’ self-representation is considerably more versatile and adaptable to different energy pathways than media and politicians’ representations of them. I use this finding to argue for disaggregating workers’ agency from the dominant stories told about them. Doing so has the potential to open new pathways for energy transition.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.734
Threshold uncertainty score0.576

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.246
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it